Inhalt
[ 921PECOCOVU20 ] UE (*)Computer Vision
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| (*) Leider ist diese Information in Deutsch nicht verfügbar. |
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| Workload |
Ausbildungslevel |
Studienfachbereich |
VerantwortlicheR |
Semesterstunden |
Anbietende Uni |
| 1,5 ECTS |
M1 - Master 1. Jahr |
Informatik |
Oliver Bimber |
1 SSt |
Johannes Kepler Universität Linz |
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| Detailinformationen |
| Quellcurriculum |
Masterstudium Computer Science 2025W |
| Lernergebnisse |
Kompetenzen |
| (*)Practical implementation of lecture content (K3). See corresponding lecture.
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| Fertigkeiten |
Kenntnisse |
| (*)Practical implementation of lecture content (K3). See corresponding lecture.
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(*)Practical implementation of lecture content (K3). See corresponding lecture.
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| Beurteilungskriterien |
(*)4 Assignments (related to Lecture Topics)
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| Lehrmethoden |
(*)Online only (Zoom), recordings, slides.
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)- Computer Vision: Algorithms and Applications, Richard Szeliski, Springer, ISBN: 1848829345, 2010
- Computer Vision – A Modern Approach, Forsyth and Ponce, 2nd edition, Addison Wesley, ISBN-10: 013608592X, 2011
- Multiple View Geometry in Computer Vision, Hartley and Zisserman, 2nd edition, Cambridge Press, ISBN: 0521540518, 2003
- Pattern Classification, Duda, Hart, and Stork, 2nd edition, Wiley-Interscience, ISBN: 978-0-471-05669-0, 2000
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| Lehrinhalte wechselnd? |
Nein |
| Sonstige Informationen |
(*)This lab and the associated lecture form an inseparable didactic unit. The learning outcomes presented here are achieved through the combined effect of the two courses.
Basic Python programming skills are required.
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| Äquivalenzen |
(*)in collaboration with 921PECOCOVV20: VL Computer Vision (3 ECTS) equivalent to
921PECOCOVK13: KV Computer Vision (4.5 ECTS)
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| Präsenzlehrveranstaltung |
| Teilungsziffer |
24 |
| Zuteilungsverfahren |
Direktzuteilung |
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